Artificial Intelligence in US Military Strategy:Trends and Implications

Since 2017,the United States has been advancing the utilization of artificial intelligence(AI)in its military strategy.Academic studies of AI’s impact on national security generally fall into four groups.The first group deals with the specific areas where AI empowers the military,such as intelligence acquisition and analysis,new weapon manufacturing,command and control decision-making and implementation,and man-machine relationship.

Enhancing College English Teachers’Teaching and Practical Abilities in the New Era:The Role of Educational Technology Amid US-China AI Rivalry

In the 21st century,the rapid development of artificial intelligence(AI)and educational technology has revolutionized the global education landscape.As the United States and China engage in strategic competition in the AI field,the impact of this rivalry extends beyond technology and economics,permeating education and international relations.This paper explores how educational technology can be leveraged to enhance the teaching and practical abilities of college English teachers in China within the context of the US-China AI competition.The intersection of AI development,educational strategies,and international diplomacy provides a unique backdrop for examining the potential and challenges of integrating advanced technology in English language teaching(ELT).This paper aims to provide insights for policymakers,educators,and researchers on how to effectively utilize educational technology to enhance the teaching and practical abilities of college English teachers,emphasizing the importance of strategic planning and international cooperation in this rapidly evolving field.

Trends and Challenges in the Application of Artificial Intelligence in the Healthcare Sector

The integration of Artificial Intelligence(AI)in healthcare is setting the stage for a transformative shift in how patient care is delivered,research is conducted,and operations are managed.Propelled by the exponential growth of data,computational advancements,and AI innovations,this integration promises a new era of precision medicine with highly personalized and effective treatment strategies.However,the journey towards seamlessly embedding AI into healthcare systems is complex,marked by challenges such as ensuring data privacy and security,addressing ethical considerations,and overcoming barriers to technology integration and adoption.This paper delves into the current trends driving AI in healthcare,including machine learning,natural language processing,robotics,and the Internet of Medical Things,while also tackling the significant challenges these innovations present.It further explores strategies for navigating these obstacles,aiming to pave the way for the successful adoption of AI technologies that enhance healthcare delivery and patient outcomes.In doing so,this work underscores the critical role of collaborative efforts among stakeholders and the need for robust frameworks to ensure AI's ethical,secure,and effective integration into healthcare.

Construction and Practice of Education and Teaching Quality Assurance Systems in Applied Colleges and Universities under the Background of Digital Intelligence

This paper discusses the optimization strategy of education and teaching quality assurance systems in applied colleges and universities under the background of digital intelligence.It first summarizes the relevant theories of digital intelligence transformation and analyzes the impact of digital intelligence transformation on higher education.Secondly,this paper puts forward the principles of constructing the quality assurance system of applied colleges,including strengthening the quality assurance consciousness,improving teachers’digital literacy,and implementing digital intelligence governance.From the practical perspective,this paper expounds on strategies such as optimizing educational teaching resource allocation,constructing a diversified evaluation system of teaching quality,strengthening the construction and training of teaching staff,and innovating teaching management methods.Specific optimization measures are put forward,such as improving policies,regulations,and system guarantees,strengthening cooperation between schools and enterprises,integrating industry,school,and research,building an educational information platform,and improving the monitoring and feedback mechanism of educational quality.

The Next Era:Flourish of National Health Care & Medicine with the World Leading Artificial Intelligence

MODERN medical diagnosis and practice heavily rely on biological data and information from patients’ body.The progress of biomedical sensor,material and mathematical technology provided ever-increasing methods to gather data.While providing more choices and more comprehensive picture of patients’ conditions to doctors and practitioners,these progresses also require more labor efforts to read,analyze,and make decisions based on those data.It is very difficult for the medical human resources to grow at a speed that matches such need for diagnosis-related expert knowledge.The shortage of expertise has caused long waiting time for check report and fatal misjudged diagnosis in public health system,and it will compromise our ability to move towards a more precise,more personalized and more efficient future of medicine.

Dynamic Pricing Strategies Using Artificial Intelligence Algorithm

Pricing strategies can have a huge impact on a company’s success. This paper focuses on the advantages and disadvantages of using artificial intelligence in dynamic pricing strategies. A good understanding of the possible benefits and challenges will help companies to understand the impact of their chosen pricing strategies. AI-driven Dynamic pricing has great opportunities to increase a firm’s profits. Firms can benefit from personalized pricing based on personal behavior and characteristics, as well as cost reduction by increasing efficiency and reducing the need to use manual work and automation. However, AI-driven dynamic rewarding can have a negative impact on customers’ perception of trust, fairness and transparency. Since price discrimination is used, ethical issues such as privacy and equity may arise. Understanding the businesses and customers that determine pricing strategy is so important that one cannot exist without the other. It will provide a comprehensive overview of the main advantages and disadvantages of AI-assisted dynamic pricing strategy. The main objective of this research is to uncover the most notable advantages and disadvantages of implementing AI-enabled dynamic pricing strategies. Future research can extend the understanding of algorithmic pricing through case studies. In this way, new, practical implications can be developed in the future. It is important to investigate how issues related to customers’ trust and feelings of unfairness can be mitigated, for example by price framing.

Exploration of the Cultural Connotation of “Traditional Festivals” Eco-Curriculum in Primary Schools

Chinese traditional festivals with rich historical and cultural connotations fully reflect Chinese children’s national cultural emotions and values.It is of great significance to explore the cultural connotations behind traditional festivals in primary school’s civics and political curriculum,and to cultivate primary school students’traditional cultural identity and increase their cultural self-confidence and patriotism through multi-channel and multi-form innovative educational strategies and curriculum design.

Intelligent Network-Connected New Energy Vehicle Technology and Application Under the Dual-Carbon Strategy

In responding to the“dual carbon”strategy,intelligent networked new energy vehicle technology plays a crucial role.This type of vehicle combines the advantages of new energy technology and intelligent network technology,effectively reduces carbon emissions in the transportation sector,improves energy utilization efficiency,and contributes to the green transportation system through intelligent transportation management and collaborative work between vehicles,making significant contributions.This article aims to explore the development of intelligent network-connected new energy vehicle technology and applications under the dual-carbon strategy and lay the foundation for the future development direction of the automotive industry.

Contrastive Study of Public Sign Translation and Linguistic Landscape from the National Strategy Perspective

Study on public sign translation and linguistic landscape has become the most practical way of serving the national strategy of language service by the Chinese linguistic scholars.Contrasts of their definitions,functions,research scope and perspectives,and research content are made and approaches to coordinating the two research fields are proposed.It is pointed out that the two concepts are neither the same nor contradictive.Linguistic landscape study can only be enriched and better serve the national strategy if the research fruits of public sign translation are absorbed.

Research on the Ecological Wisdom of Traditional Dwellings of the Liangshan Yi Nationality Based on Regional Climate

As a typical building with ethnic and regional characteristics in southwest Chi-na, its construction skills contain rich local ecological wisdom. The detailed analysis of the climatic and geomorphological features of the Liangshan Yi nationality area shows that the thermal mass effect is the first choice for the passive adjustment strategy of residential dwellings. This study focuses on the typical representatives of traditional dwellings in Meigu County, analyzing the wisdom of ecological construction to improve the thermal mass effects of res-idential buildings at the macro (village), moderate (courtyard), and micro (building unit) levels. Based on this analysis, the study summarizes the “genetic factor library” of the ecological construction mode of traditional Yi residential dwellings. Finally, the measured data of the residential thermal environment and the simulation data of Ecotect software are used to study and judge the logic behind its ecological construction wisdom. The results show that the tradi-tional dwellings of the Yi nationality in Liangshan have six aspects of local en-vironmental knowledge to improve the thermal mass effects performance of buildings. The winter thermal environment of the house is comfortable, and the heat is sufficient;Rammed earth materials in residential buildings have more potent, powerful, and robust thermal mass effects performance than stone slabs and wooden boards.

Eye on the Sky: A UAP Research and Field Study off New York’s Long Island Coast

A ten-month field research study was meticulously conducted at Robert Moses State Park (RMSP) on the south shore of Long Island, NY. The objective was to determine if aerial phenomena of an unknown nature exist over a coastal location and to characterize their properties and behaviors. Primary and secondary field observation methods were utilized in this data-centric study. Forensic engineering principles and methodologies guided the study. The challenges set forward were object detection, observation, and characterization, where multispectral electro-optical devices and radar were employed due to limited visual acuity and intermittent presentation of the phenomena. The primary means of detection utilized a 3 cm X-band radar operating in two scan geometries, the X- and Y-axis. Multispectral electro-optical devices were utilized as a secondary means of detection and identification. Data was emphasized using HF and LF detectors and spectrum analyzers incorporating EM, ultrasonic, magnetic, and RF field transducers to record spectral data in these domains. Data collection concentrated on characterizing VIS, NIR, SWIR, LWIR, UVA, UVB, UVC, and the higher energy spectral range of ionizing radiation (alpha, beta, gamma, and X-ray) recorded by Geiger-Müller counters as well as special purpose semiconductor diode sensors.

Life Strategy Traits of the Liana Sericostachys scandens Spreading in the Montane Forests in the Kahuzi-Biega National Park (DR Congo)

Sericostaehys seandens is a monocarpic and heliophilous liana, native in tropical African forests. In the montane forests of the Kahuzi-Biega National Park （KBNP） （East of DR Congo）, it has been expanding very strongly for a decade, and is currently considered as having negative impacts on biodiversity conservation. In this paper, we test if S. scandens differs from three co-occurring, native, non spreading lianas （Gouania longispicata, Tacazzea apiculata and Adenia bequaertii） for functional traits which might influence plant expansion. For leaf traits （SLA, dry matter content, nitrogen concentration）, S. scandens did not show extreme values compared to those of the three other lianas. In contrast, S. scandens had much higher biomass allocation to sexual reproduction. It also differs from the three other lianas for its reproductive strategy that combines both vegetative propagation and sexual reproduct/on, and propagule dispersal by wind. Moreover, S. scandens has larger leaves and a greater number of lateral branches per unit stem length. It is argued that the particular combination of functional traits exhibited by S.scandens may in part explain its propensity to behave as an opportunistic weed in the disturbed areas in the montane forests of Kahuzi-Biega.

Strategic Direction of Russia Interpreted from Its New National Security Strategy

In July 2021,Russia unveiled its new National Security Strategy,which is a considerably updated version compared with the previous one and hence presents several new features.For instance,it further stresses that security should be prioritized over other aspects;it gives more attention to the chaotic aspects of order change in its assessment of the international situation;it highlights the threats from the West;and it places increased emphasis on domestic capacity building as a means for safeguarding national security.From the content of the new Strategy as well as Russia’s policies in recent years,the strategy of Russia for the foreseeable future can be generally characterized as inward-looking.Domestically,its policies will become more conservative;diplomatically,it will take up a defensive position;and economically,it will increasingly emphasize security and selfreliance.In other words,several issues that were previously overlooked will be given attention.However,strategic introversion does not mean that Russia will invest all its energy in defense.Instead,Russia will build up strength for changes that lie ahead.With the expected strategic introversion,Russia will fnd difculty in making breakthroughs in terms of its relations with the West;the China-Russia relations will continue on the path of steady development;and Russia will place greater importance to the balance of power among major countries.

Study on the Strategy of International Publicity Translation in Our Country from the Perspective of National Image

Along with the advent of the age of globalization, our country and international community are becoming more closely, and comprehensive national strength and infl uence is also greatly growing. Strengthening external propaganda has become a strategic task in the current development of our country. The translation work has been paid more and more attention, and it has an important role in shaping the image of our country. But from the current point of view, there are still some common problems. In this paper, from the perspective of the national image, we analyze the relationship between foreign publicity translation strategies and national image, and we also analyze the status quo of the translation of foreign propaganda in China, then we put forward the strategy of publicity translation.

欧洲法院国家安全情报领域算法规制的经验及其借鉴——以La Quadrature du Net and Others案为例

[目的/意义]La Quadrature du Net and Others案是欧盟法院第一次以判决的形式回应成员国国家安全情报领域算法运用的立法,对其进行研究不仅能够拓展理论研究的视界,也可为我国相关制度的构建提供镜鉴。[方法/过程]采取案例分析法,深入分析欧盟法院国家安全情报领域算法规制的逻辑基点、路径和方法。[结果/结论]该判决对欧洲人权法院及法国均产生重要影响,但无论是传统情报监督路径与方法,还是新兴算法规制路径与方法,均存缺憾。我国在推进国家安全情报领域算法运用的同时,要对其基本权利干预性有充分认识,应通过立法强化国家安全情报领域算法运用的规制。

Extension Modeling Strategy of Intelligent Detection in D.huoshanense Photosynthesis Process

Aiming at the limitations of the existing knowledge representations in intelligent detection, a new method of Extension-based Knowledge Representation (EKR) was proposed. The definitions, grammar rules, and storage structure of EKR were presented. An Extension Solving Model (ESM) based on EKR was discussed in detail, including creation of the extension constraint graph, extended inference, calculation of relevant functions and generation of extension set. A knowledge base system based on EKR and ESM was developed, which was applied in extension repository system intelligent design of detection in photosynthesis process of D.huoshanense. More reasonable results were obtained than traditional rule-based system. EKR was feasible in intelligent design to solve the problem of intelligent detection knowledge representations.

Publishers’Development Strategies in Response to Changes in National Reading-Analysis Based on the 16th to 20th National Reading Survey Report

Since 2014,nationwide reading has been included in the government work report for 10 consecutive times,and twice into the country’s five-year development plan.The importance of reading for individuals,society,and the country has become increasingly prominent.National reading has flourished,and throughout the 2018 to 2022 National Reading Survey Report,there have been welcome changes in national reading in China.This study compares and analyzes the relevant reading indicators of adult nationals from 2018 to 2022,and summarizes the five changes and new trends in national reading.That is,national reading awareness has increased,paper-book reading habits have returned,digital reading has become more diversified,the listening group has grown,and the voice of national reading activities has continued to rise.Accordingly,it provides relevant development strategies for publishers.

The Transmission Mechanism and Control Strategy of the Network Public Opinion in Frontier Ethnic Regions

Social networking has become an important channel for netizens to express public Opinions and reflect social conditions and public opinions. At the same time, social networks also provide favorable conditions for the widespread dissemination of negative information. The spread of negative information will weaken the credibility of the government and affect government decisions. For this reason, the network public opinion transmission mechanism and control strategy in frontier ethnic areas are studied in depth. Through the analysis of the stage of social media public opinion dissemination, a more reasonable social media public opinion dissemination stage model was concluded, and the social media public opinion dissemination mechanism and the linkage mechanism of the dissemination mechanism were derived, which solved the problem of how social media sentiment was disseminated. According to the analysis of the stage characteristics of social media public opinion dissemination , the six stages of public opinion transmission were divided into different levels , and corresponding strategies were proposed for different levels of the dissemination stage.

Is the Long-term Economic Decline of the Philippines Unstoppable? Trends, Reasons, Outlook

The Philippines was in the 1960s a model of development in Asia and second to Japan,but occupies presently only the 11th position under South-East and East Asian countries in terms of GDP-per capita.The article explores why this important Asian country with a long colonial past and enormous economic potential still ranks under lower-income countries and has in the last decades let pass by many other Asian countries.In answering this question,the approach of external triggers for accelerated development is being applied.In stark contrast to the success stories of the strongly outward-looking Asian countries like the four Tigers,later of Thailand and Vietnam the Philippines never developed a vision of an open economy connecting pro-actively to the world markets.Trade is hampered by a non-competitive and highly protected national economy.The existing FDI is more oriented to the profitable local markets.Foreign debts were never effectively used and international tourism was never well promoted.Linking these failures to the existing power structures in the country,it seems very much that the backward forces like the big landowners,the local producers and industrialists never wanted and continue not to want to open up the economy to international competition and governments are complacent with these groups.Various indicators demonstrate the long-term decline of the Philippines:Among them the slow growth of the GDP and the continuously high poverty rates.As the alliance of big business and policy holds firm no change in the failing nationalistic economic model can be detected leaving the bleak outlook that the economic decline will continue.

U.S. National Strategy: betweem Offensive and Integration

As the hegemonic country in the world system, U. S. national strategy is global and multi-directional. Since September 11, 2001, America has made series of adjustments in its global strategy, including adjustment in security focus and change of security means. Come what may, since America has become the superpower in the world system, its national strategy has always been between offensive and integration. In a sense, current American strategy is the combination of the two. Although different government would tilt toward one direction, none